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A Variational Autoencoder-Based Dimensionality Reduction Technique for Generation Forecasting in Cyber-Physical Smart Grids

conference contribution
posted on 2021-01-01, 00:00 authored by Devinder KaurDevinder Kaur, Shama IslamShama Islam, Apel MahmudApel Mahmud
A Variational Autoencoder-Based Dimensionality Reduction Technique for Generation Forecasting in Cyber-Physical Smart Grids

History

Event

Communications. Conference (2021 : Montreal, Quebec)

Pagination

1 - 6

Publisher

IEEE

Location

Montreal, Quebec

Place of publication

Piscataway, N.J.

Publisher DOI

Start date

2021-06-14

End date

2021-06-23

ISBN-13

9781728194417

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

ICC 2021 : Proceedings of the IEEE International Conference on Communications

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    Research Publications

    Categories

    Keywords

    deep learningDimensionality reductionenergy forecastingposterior approximationrenewable energy generationVAE-BiLSTMElectrical and Electronic Engineering not elsewhere classified

    Licence

    All Rights Reserved

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